|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Game theory in coop- erative communications显示文摘 | Yang Dejun Fang Xi Xue Guoliang | 2012 | IEEE Wireless Communications2012，19，2： | 1 |
| 2 | Crowdsourcingto smartphones: incentive mechanism design for mobilephone sensing显示文摘 | Yang Dejun Xue Guoliang Fang Xi | 2012 | Proceedings of the 18 h Annual Interna-tional Conference on Mobile Computing and Networking MobiCom’12 ACM Istanbul Turkey2012，2012，： | 1 |
| 3 | Study on treatment of polytetrahydrofuran wastewater by iron-carbon micro-electrolysis 显示文摘 | Tian Xi Huo Mingxin Bian Dejun | 2013 | Applied Mechanics and Meterials2013，，： | 1 |
| 4 | Synergic effect of 3′-azido-3′-deoxythymidine and arsenic trioxide in suppressing hepatoma cells显示文摘 | Che Chen Yingmei Zhang Yong Wang Dejun Huang Yaming Xi Yongmei Qi | 2011 | Anti-Cancer Drugs2011，，5： | 1 |
| 5 | Evolving smart grid ini'ormation management eloudward: a cloud optimization perspeetive显示文摘 | FANG Xi YANG Dejun XUE Guoliang | 2013 | IEEE Trans on Smart Grid2013，4，11： | 1 |
| 6 | Evolving smart grid information management cloudward:A cloud optimization perspective显示文摘 | Fang Xi Yang Dejun Xue Guoliang | 2013 | Smart Grid2013，4，1： | 1 |
| 7 | HERA:an optimal relay assignment scheme for cooperative networks显示文摘 | Yang Dejun Fang Xi Xue Guoliang | 2012 | IEEE Journal on Selected Areas in Communications2012，30，2： | 1 |
| 8 | Development of a Universal RNA Dual-Terminal Labeling Method for Sensing RNA-Ligand Interactions显示文摘Dual labeling of an RNA can provide Förster resonance energy transfer(FRET)sensors for studying RNA folding,miRNA maturation,and RNA-protein interactions.Here,we report the development of a highly efficient strategy for direct dual-terminal labeling of any RNA of interest.We explored new Michael cycloaddition for facile labeling of 5′-terminal RNA with improved efficiency.Direct chemical tetrazinylation of RNA at the 3′-terminus was achieved with the highly efficient and catalysis-free tetrazine-cycloalkyne ligation.Both single-terminal labeling methods were combined for dual-terminal labeling of an RNA including short hairpin RNA,pre-miRNA,riboswitch,and noncoding RNA.Notably,these dual-labeled RNA-based FRET sensors were used to monitor RNA-ligand interactions in vitro and in live cells.It is anticipated that these universal RNA labeling strategies will be useful to study RNA structures and functions. | Longhuai Cheng Dejun Ma Jie Zhang Xueying Kang Yang Wu Yi Zhao Long Yi Zhen Xi | 2023 | CCS Chemistry2023，5，1： | 0 |
| 9 | Cohort profile: design and methods of the Chinese colorectal, breast, lung, liver, and stomach cancer screening trial(C-BLAST)显示文摘Given the rapid changes in social structure(urbanization),economic structure(industrialization),and demographic structure(population aging)in China,cancer has become a major public health problem1.Extensive evidence has indicated that screening can decrease cancer mortality,particularly among high-risk groups,and several representative national and regional cancer screening programs have been launched in China to cope with the increasing burden of cancer. | Yubei Huang Zhangyan Lyu Yu Zhang Xiaomin Liu Yacong Zhang Ya Liu Chao Sheng Hongyuan Duan Zeyu Fani Chenyang Li Xiao Lin Zhuowei Feng Lu Zheng Zhaoxiang Ye Hong Lu Ying Zhu Dejun Zhou Xi Wei Li Ren Bin Meng Fangfang Song Fengju Song Kexin Chen | 2023 | Cancer Biology & Medicine2023，20，10： | 0 |
| 10 | Design and test of stem diameter inspection spherical robot显示文摘Stem diameter is an important parameter in the process of plant growth which can indicate the growth state and moisture content of the plant,its automatic detection is necessary.Traditional devices have many drawbacks that limit their practical uses in general case.To solve those problems,a stem diameter inspection spherical robot was developed in this study.The particular mechanism of the robot has turned out to be suitable for performing monitoring tasks in greenhouse mainly due to its spherical shape,small size,low weight and traction system that do not produce soil compacting or erosion.The mechanical structure and hardware architecture of the spherical robot were described,the algorithm based on binocular stereo vision was developed to measure the stem diameter of the plant.The effectiveness of the prototype robot was confirmed by field experiments in a tomato greenhouse.The results showed that the machine measurement data was linearly correlated with the manual measurement data with R^(2) of 0.9503.There was no significant difference for each attribute between machine measurement data and manual measurement data(sig>0.05).The results showed that this method was feasible for nondestructive testing of the stem diameter of greenhouse plants. | Longzhe Quan Ci Chen Yajun Li Yajing Qiao Dejun Xi Tianyu Zhang Wenfeng Sun | 2019 | International Journal of Agricultural and Biological Engineering2019，12，2： | 0 |
| 11 | U-shaped Vision Transformer and Its Application in Gear Pitting Measurement显示文摘Although convolutional neural networks have become the mainstream segmentation model,the locality of convolution makes them cannot well learn global and long-range semantic information.To further improve the performance of segmentation models,we propose U-shaped vision Transformer(UsViT),a model based on Transformer and convolution.Specifically,residual Transformer blocks are designed in the encoder of UsViT,which take advantages of residual network and Transformer backbone at the same time.What is more,transpositions in each Transformer layer achieve the information interaction between spatial locations and feature channels,enhancing the capability of feature learning.In the decoder,for enhancing receptive field,different dilation rates are introduced to each convolutional layer.In addition,residual connections are applied to make the information propagation smoother when training the model.We first verify the superiority of UsViT on automatic portrait matting public dataset,which achieves 90.43%accuracy(Acc),95.56%Dice similarity coefficient,and 94.66%Intersection over Union with relatively fewer parameters.Finally,UsViT is applied to gear pitting measurement in gear contact fatigue test,and the comparative results indicate that UsViT can improve the Acc of pitting detection. | Sijun Wang Yi Qin Dejun Xi Chen Liang | 2022 | Journal of Dynamics, Monitoring and Diagnostics2022，1，4： | 0 |
| 12 | HEAT ENERGY DISSIPATION IN FATIGUE DAMAGE PROCESS显示文摘Using the dissipated energy as an essential parameter,the energy dissipative structure in pro-cess of fatigue damage of materials has been established.Through thermodynamic analysis forirreversible energy dissipation in fatigue damage process,the heat dissipative variations incyclic loading process as well as in a cycle have been systematically studied on the basis of lowcycle fatigue tests and infrared measurement of self-heating thermography.Meanwhile,thecyclic hysteresis energy and efficient energy dissipation (stored energy) have been proposedduring fatigue damage process. | TUNG Xiaoyan Northwestern Polytechnical University,Xi’an,ChinaWANG Dejun XU Hao Northeast University of Technology,Shenyang,China | 1992 | Acta Metallurgica Sinica(English Letters)1992，5，5： | 0 |
| 13 | Gear Pitting Measurement by Multi-Scale Splicing Attention U-Net显示文摘The judgment of gear failure is based on the pitting area ratio of gear.Traditional gear pitting calculation method mainly rely on manual visual inspection.This method is greatly affected by human factors,and is greatly affected by the working experience,training degree and fatigue degree of the detection personnel,so the detection results may be biased.The non-contact computer vision measurement can carry out non-destructive testing and monitoring under the working condition of the machine,and has high detection accuracy.To improve the measurement accuracy of gear pitting,a novel multi-scale splicing attention U-Net(MSSA U-Net)is explored in this study.An image splicing module is first proposed for concatenating the output feature maps of multiple convolutional layers into a splicing feature map with more semantic information.Then,an attention module is applied to select the key features of the splicing feature map.Given that MSSA U-Net adequately uses multi-scale semantic features,it has better segmentation performance on irregular small objects than U-Net and attention U-Net.On the basis of the designed visual detection platform and MSSA U-Net,a methodology for measuring the area ratio of gear pitting is proposed.With three datasets,experimental results show that MSSA U-Net is superior to existing typical image segmentation methods and can accurately segment different levels of pitting due to its strong segmentation ability.Therefore,the proposed methodology can be effectively applied in measuring the pitting area ratio and determining the level of gear pitting. | Yi Qin Dejun Xi Weiwei Chen Yi Wang | 2023 | Chinese Journal of Mechanical Engineering2023，36，2： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员